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06/20/2023
Knowledge Distillation via Token-level Relationship Graph
Knowledge distillation is a powerful technique for transferring knowledg...
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research
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11/27/2022
Class-aware Information for Logit-based Knowledge Distillation
Knowledge distillation aims to transfer knowledge to the student model b...
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06/19/2020
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection
Recommendation is a prevalent application of machine learning that affec...
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02/20/2018
Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks
We consider a dynamic multichannel access problem, where multiple correl...
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11/28/2017
